Khoo, Chun Keong and Mahfuzah, Mustafa and Ahmad Johari, Mohamad and M. H., Sulaiman and Nor Rul Hasma, Abdullah and Rosdiyana, Samad and Pebrianti, Dwi (2016) Levenberg-Marquardt Flood Prediction for Sungai Isap Residence. In: IEEE Conference on System, Process and Control (ICSPC 2016) , 16-18 December 2016 , Swiss-Garden Hotel & Residences Melaka. pp. 1-6.. (Unpublished)
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Levenberg Marquardt flood prediction for Sungai Isap Residence (Khoo Chun Keong).pdf Download (544kB) | Preview |
Abstract
The flood can cause wide destroy to property and life because of the supreme corrosive force and can be highly damaging. In order to decrease the damages cause by the flood, an Artificial Neural Network (ANN) model has been established to predict flood in Sungai Isap, Kuantan, Pahang, Malaysia. This model is able to imitate same as the brain thinking process and avoid any influence to the predict judgment. This study proposed Levenberg-Marquardt (LM) back-propagation with two different ratios that is (80%: 10%: 10%) and (70%: 15%: 15%) for training sample, testing sample, and validation sample. The data collected in terms of temperature, precipitation, dew point, humidity, sea level pressure, visibility, wind and river level data were collected from January 2013 until May 2015. The results are shown on the basic of mean square error (MSE) and regression (R). The prediction by Levenberg-Marquardt with 80% training sample was shown better result compared with 70% training sample.
| Item Type: | Conference or Workshop Item (Speech) |
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| Uncontrolled Keywords: | Flood Prediction, Sungai Isap Residence, Artificial Neural Network, Levenberg-Marquardt |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 25 Apr 2017 07:47 |
| Last Modified: | 11 Apr 2018 01:24 |
| URI: | http://umpir.ump.edu.my/id/eprint/16373 |
| Download Statistic: | View Download Statistics |
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